Wavelet Toolbox

Image Fusion Using the Command Line

Example 1 -- Fusion of Two Different Images

1. Load two original images: a mask and a bust.

• load mask; X1 = X;
  load bust; X2 = X;
  

2. Merge the two images from wavelet decompositions at level 5 using db2 by taking two different fusion methods: fusion by taking the mean for both approximations and details,

• XFUSmean = wfusimg(X1,X2,'db2',5,'mean','mean');
  

1. and fusion by taking the maximum for approximations and the minimum for the details.

   • XFUSmaxmin = wfusimg(X1,X2,'db2',5,'max','min');
     

3. Plot original and synthesized images.

• colormap(map);
  subplot(221), image(X1), axis square, title('Mask')
  subplot(222), image(X2), axis square, title('Bust')
  subplot(223), image(XFUSmean), axis square, 
  title('Synthesized image, mean-mean')
  subplot(224), image(XFUSmaxmin), axis square, 
  title('Synthesized image, max-min')
  
  
  
  

Example 2 -- Restoration by Fusion from Fuzzy Images

1. Load two fuzzy versions of an original image.

• load cathe_1; X1 = X;
  load cathe_2; X2 = X;
  

2. Merge the two images from wavelet decompositions at level 5 using sym4 by taking the maximum of absolute value of the coefficients for both approximations and details.

• XFUS = wfusimg(X1,X2,'sym4',5,'max','max');
  

3. Plot original and synthesized images.

• colormap(map);
  subplot(221), image(X1), axis square, 
  title('Catherine 1')
  subplot(222), image(X2), axis square, 
  title('Catherine 2')
  subplot(223), image(XFUS), axis square, 
  title('Synthesized image')
  
  
  
  

1. The synthesized image is a restored version of good quality of the common underlying original image.

Image Fusion

Image Fusion Using the Graphical Interface

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